We started our delegation trip with a Meet & Mingle this evening at the Intercontinental Mark Hopkins and look forward to 4 existing days visiting 17 IT innovators and start-up companies in the Valley.

You will find more information and regular updates in this blog.

Tomorrow, Monday, we will be visiting Equinix, Oracle and C3IoT.

Sonja Loth

Google's mission is to organize the world‘s information and make it universally accessible and useful.
Since the founding in 1998, Google has grown by leaps and bounds. From offering search in a single language they now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, they now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: the dedication to their users and their belief in the possibilities of the Internet itself.

We are visiting Google's office on Tuesday, 10th April. 

Sonja Loth

DevOps is a set of practices that automates the processes between software development and IT teams, so they can build, test and release software faster and more reliably. The concept of DevOps is founded on building a culture of collaboration between teams that have historically functioned in relative siloes. The promised benefits include increased trust, faster software releases, and the ability to solve critical issues quickly and better manage unplanned work.

The recent rise of artificial intelligence (AI)/machine learning (ML) in the cloud — and related capabilities such as predictive analytics — has started to push DevOps organizations to explore the implementation of a new data analysis model that relies on mathematical algorithms.

Many public cloud providers, such as Microsoft, Amazon, Google and IBM are currently supporting AI/ML-as-a-Service, enabling DevOps organizations to leverage the agility of those services to help them become more efficient in their application development, including automating many repeatable DevOps tasks.

Read the full article here to learn how Equinix is using AI/ML adoption in DevOps for enterprise applications.

Sonja Loth